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Automating the Classification of Roof Waterproofing Buildings Using Satellite Images
  • Ahn, Sangho ;
  • Kim, Sehyeong ;
  • Chae, Jungwoo ;
  • Park, Jaehyeong ;
  • Kang, Juyoung
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dc.contributor.authorAhn, Sangho-
dc.contributor.authorKim, Sehyeong-
dc.contributor.authorChae, Jungwoo-
dc.contributor.authorPark, Jaehyeong-
dc.contributor.authorKang, Juyoung-
dc.date.issued2021-01-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36702-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122911068&origin=inward-
dc.description.abstractUse satellite images to check the waterproofing status of buildings on the roof. or to classify buildings that require waterproofing based on applied paint conditions. Through this, the idea of automatically classifying buildings that need rooftop waterproofing work for a wide range of areas is presented, and furthermore, platform services that can be effectively used for local governments or national projects are proposed.-
dc.description.sponsorshipThis research was supported by the Ministry of Science and ICT, Korea, under the Information Technology Research Center support program (IITP-2021-2018-0-01424).-
dc.language.isoeng-
dc.publisherIEEE Computer Society-
dc.subject.meshCondition-
dc.subject.meshGovernment projects-
dc.subject.meshImages processing-
dc.subject.meshLocal government-
dc.subject.meshNational programme-
dc.subject.meshRoof detection-
dc.subject.meshSatellite images-
dc.subject.meshSatelllte image processing-
dc.subject.meshYOLO-
dc.titleAutomating the Classification of Roof Waterproofing Buildings Using Satellite Images-
dc.typeConference-
dc.citation.conferenceDate2021.10.20. ~ 2021.10.22.-
dc.citation.conferenceName12th International Conference on Information and Communication Technology Convergence, ICTC 2021-
dc.citation.editionICTC 2021 - 12th International Conference on ICT Convergence: Beyond the Pandemic Era with ICT Convergence Innovation-
dc.citation.endPage311-
dc.citation.startPage309-
dc.citation.titleInternational Conference on ICT Convergence-
dc.citation.volume2021-October-
dc.identifier.bibliographicCitationInternational Conference on ICT Convergence, Vol.2021-October, pp.309-311-
dc.identifier.doi10.1109/ictc52510.2021.9621168-
dc.identifier.scopusid2-s2.0-85122911068-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/conferences.jsp-
dc.subject.keywordcomputer vision-
dc.subject.keywordobject detection-
dc.subject.keywordroof detection-
dc.subject.keywordsatelllte image processing-
dc.subject.keywordYOLO-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaInformation Systems-
dc.subject.subareaComputer Networks and Communications-
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